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The Analyst Team
Matthew Bailey
Follow AnalystSenior Principal Analyst, Advertising
Matthew Bailey leads Omdia’s advertising research, covering the global digital and traditional media advertising sectors. Matthew’s research focuses on the ad operations of big tech players, TV broadcaster advertising strategies, ad-supported online video (AVOD/FAST), retail media, and the evolving connected TV advertising landscape.
He also has expertise in—and produces research into—the broader media, entertainment, and technology industry, including OTT video, digital publishing, social media, video games, and consumer platforms and devices.
Prior to joining Omdia, formerly Ovum, in 2015, Matthew worked as a senior research analyst at MarketLine. He holds a degree in English language and literature from the University of Leeds.
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Kia Ling Teoh
Follow AnalystSenior Analyst, Advertising
As part of Omdia's media and entertainment team, Kia Ling Teoh covers global advertising, channels, and programming research, with specific interests in traditional TV’s digital extensions and content strategies. Her research focuses on the development of the advertising and television programming markets including, but not limited to, key markets in Asia Pacific.
Kia Ling provides analysis and forecasts on subjects such as TV broadcasters’ advertising revenues, including those from linear TV and ad-supported online video, and programming spend. She is widely quoted in media publications and has authored topical reports covering advertising M&A and TV and online video markets in China, Indonesia, and India. She is based in Penang, Malaysia, and joined Omdia in April 2014. Prior to joining Omdia, Kia Ling was a lead analyst at the Governance, Risk, and Compliance division of Thomson Reuters. She holds a Master of Science in international business management from University of Kent, UK. She is fluent in English, Chinese Mandarin, and Malay.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
Omdia Recommends
These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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